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Time-Based Strategy

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Time-Based Strategy

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Find the Right Edition That Fits You
Scalperology Ai MT5
Global
Pairs: AUD/JPY
AUD/JPY
AUD/USD
EUR/AUD
EUR/GBP
EUR/JPY
EUR/NZD
EUR/USD
GBP/USD
NZD/USD
USD/CAD
USD/CHF
USD/JPY
XAU/USD
XAG/USD
XBT/USD
30-Day Profit: 37.65%
7-Day Profit: 25.96%
Support: 24х7 via Telegram
Free 🎁
Breakopedia Ai MT5
Global
Pairs: AUD/JPY
AUD/JPY
AUD/USD
EUR/AUD
EUR/GBP
EUR/JPY
EUR/NZD
EUR/USD
GBP/USD
NZD/USD
USD/CAD
USD/CHF
USD/JPY
XAU/USD
XAG/USD
XBT/USD
30-Day Profit: 24.18%
7-Day Profit: 14.47%
Support: Developer
Free EA🚀

Understanding Time-Based Strategy

  • Time-based strategies focus on executing trades based on specific times rather than market conditions or technical indicators.
  • This approach allows traders to take advantage of predictable market behavior, especially around significant events like economic announcements.
  • One popular implementation is the "SendOrder at Time" strategy, which places buy or sell orders at predefined times, often paired with confirmation conditions like RSI or MACD.
    • 🕒

    Execution Process

  • Traders set specific time frames for analysis, such as 00:00 to 12:00 GMT for the EUR/USD pair.
  • During this time, the highest high and lowest low prices are recorded to establish boundaries for trading.
  • Orders are placed right outside these boundaries; if the price breaks above, a buy position is triggered, and if it breaks below, a sell position is initiated.
    • 📈

    Active Management Techniques

  • Trade management involves setting stop-loss and take-profit levels according to user-defined parameters.
  • Trailing stops can be used to protect profits as trades move favorably.
  • At the end of the trading day, all open positions are closed, allowing the strategy to reset and prepare for the next cycle.

    • Examples and Applications

  • The "Strategy Master" EA encompasses various strategies including the time-based "SendOrder at Time", showcasing how traders can optimize their approach through automation.
  • Time-based strategies can be enhanced with filters from technical indicators, creating a robust trading approach tailored to individual preferences.
  • These strategies are effective in both trending and ranging markets, adjusting dynamically to varying liquidity and volatility levels. 🚀
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